Next Article in Journal
Self-Regulating Fuzzy-LQR Control of an Inverted Pendulum System via Adaptive Hyperbolic Error Modulation
Next Article in Special Issue
Conducted Electromagnetic Interference Mechanisms and Mitigation Techniques in SiC Electric Vehicle Traction Inverters: A Review
Previous Article in Journal
Development and Balancing Control of Control Moment Gyroscope (CMG) Unicycle–Legged Robot
Previous Article in Special Issue
Novel Model Predictive Control Strategies for PMSM Drives: Reducing Computational Burden and Enhancing Real-Time Implementation
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Machines
Volume 13
Issue 10
10.3390/machines13100938
machines-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Promoting the Green Transformation of Traditional Ships in Anhui Province: A Model Prediction Cost Analysis Algorithm for a New Electrification Transformation Scheme Using Lithium Iron Phosphate Battery

by
Xiaoqing Zhou
,
Risha Na
* and
Jun Tao
School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China
*
Author to whom correspondence should be addressed.
Machines 2025, 13(10), 938; https://doi.org/10.3390/machines13100938
Submission received: 1 August 2025 / Revised: 24 September 2025 / Accepted: 24 September 2025 / Published: 11 October 2025
(This article belongs to the Special Issue Advanced Power Electronic Technologies in Electric Drive Systems, 2nd Edition)
Browse Figures
Versions Notes

Abstract

Promoting the green transformation of traditional diesel-powered ships is crucial for achieving carbon peaking and carbon neutrality goals. This study focuses on diesel-engine ships operating in the inland river areas of Anhui Province, China. It proposes two electrification retrofit schemes based mainly on lithium iron phosphate (LIP) batteries: full electrification and diesel-engine redundancy. The economic and environmental impacts of these schemes are analyzed and compared with those of conventional diesel-powered ships. A cost prediction algorithm based on model prediction is proposed, supported by a mathematical model for cost analysis. Results indicate that for electric tankers to become economically viable, battery costs must decrease through yearly improvements in energy density and reduced degradation rates. Additionally, government support is essential, such as raising carbon prices and providing subsidies—either an annual operational subsidy of CNY 80,000 or an initial construction subsidy of CNY 500,000. The study concludes that continued advances in battery technology, together with policy and financial support, will accelerate the large-scale electrification of ships.
Keywords: green transformation; electrification; lithium iron phosphate battery; model prediction; cost analysis green transformation; electrification; lithium iron phosphate battery; model prediction; cost analysis

Share and Cite

MDPI and ACS Style

Zhou, X.; Na, R.; Tao, J. Promoting the Green Transformation of Traditional Ships in Anhui Province: A Model Prediction Cost Analysis Algorithm for a New Electrification Transformation Scheme Using Lithium Iron Phosphate Battery. Machines 2025, 13, 938. https://doi.org/10.3390/machines13100938

AMA Style

Zhou X, Na R, Tao J. Promoting the Green Transformation of Traditional Ships in Anhui Province: A Model Prediction Cost Analysis Algorithm for a New Electrification Transformation Scheme Using Lithium Iron Phosphate Battery. Machines. 2025; 13(10):938. https://doi.org/10.3390/machines13100938

Chicago/Turabian Style

Zhou, Xiaoqing, Risha Na, and Jun Tao. 2025. "Promoting the Green Transformation of Traditional Ships in Anhui Province: A Model Prediction Cost Analysis Algorithm for a New Electrification Transformation Scheme Using Lithium Iron Phosphate Battery" Machines 13, no. 10: 938. https://doi.org/10.3390/machines13100938

APA Style

Zhou, X., Na, R., & Tao, J. (2025). Promoting the Green Transformation of Traditional Ships in Anhui Province: A Model Prediction Cost Analysis Algorithm for a New Electrification Transformation Scheme Using Lithium Iron Phosphate Battery. Machines, 13(10), 938. https://doi.org/10.3390/machines13100938

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop